Paper Citation Record · LEDGER

Label Correction for Road Segmentation Using Road-side Cameras

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2502.01281.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.01281 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:51:02.945005Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact4
verified fuzzy22
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c802d315-31b8-4003-97d0-6f180662c5eb · outbound

This paper cites Idd-aw: A benchmark for safe and robust segmentation of drive scenes in unstructured traffic and adverse weather,.

Label Correction for Road Segmentation Using Road-side Cameras Idd-aw: A benchmark for safe and robust segmentation of drive scenes in unstructured traffic and adverse weather,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.402110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5255579e-bd94-45e4-8b54-3129e06f6923 · outbound

This paper cites Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding,.

Label Correction for Road Segmentation Using Road-side Cameras Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.387957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 506c08dd-997c-415a-a326-e7225bc3923f · outbound

This paper cites Image stabilization algorithms for video-surveillance applications,.

Label Correction for Road Segmentation Using Road-side Cameras Image stabilization algorithms for video-surveillance applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.373902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ffcbc71-d9bb-4a9c-aecb-55577c2305eb · outbound

This paper cites The sift algorithm for fundamental frequency estimation,.

Label Correction for Road Segmentation Using Road-side Cameras The sift algorithm for fundamental frequency estimation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.360121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f461850e-e770-486b-8867-a337556e5e77 · outbound

This paper cites Image registration with fourier-based image correlation: A comprehensive review of developments and applications,.

Label Correction for Road Segmentation Using Road-side Cameras Image registration with fourier-based image correlation: A comprehensive review of developments and applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.346061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 925e8fe8-94fd-45a1-8d45-d639cb57b2da · outbound

This paper cites Rope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task,.

Label Correction for Road Segmentation Using Road-side Cameras Rope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.332281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e093021c-6d28-4470-9fbb-fedb7a307146 · outbound

This paper cites Tumtraf event: Calibration and fusion resulting in a dataset for roadside event-based and rgb cameras,.

Label Correction for Road Segmentation Using Road-side Cameras Tumtraf event: Calibration and fusion resulting in a dataset for roadside event-based and rgb cameras,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.317570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83289073-59c9-4fdb-92b9-63df492b22ee · outbound

This paper cites Traffic monitoring and vehicle tracking using roadside cameras,.

Label Correction for Road Segmentation Using Road-side Cameras Traffic monitoring and vehicle tracking using roadside cameras,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.303412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32068a48-c971-493c-98ff-1cf76a1f55af · outbound

This paper cites High accuracy traffic monitoring using road-side line-scan cameras,.

Label Correction for Road Segmentation Using Road-side Cameras High accuracy traffic monitoring using road-side line-scan cameras,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.289696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d88a43d6-b8cd-4429-be6d-b88bd73804a1 · outbound

This paper cites Fully automatic roadside camera calibration for traffic surveillance,.

Label Correction for Road Segmentation Using Road-side Cameras Fully automatic roadside camera calibration for traffic surveillance,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.274905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b947072a-55e4-4e9c-993a-345b89313e12 · outbound

This paper cites Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation,.

Label Correction for Road Segmentation Using Road-side Cameras Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.260442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a1a574c-b77e-4436-8e18-1e772ccef645 · outbound

This paper cites Real-time full-stack traffic scene perception for autonomous driving with roadside cameras,.

Label Correction for Road Segmentation Using Road-side Cameras Real-time full-stack traffic scene perception for autonomous driving with roadside cameras,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.246124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 89474f43-da3d-4f82-a8c5-3a3eb6cb80c6 · outbound

This paper cites Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing.

Label Correction for Road Segmentation Using Road-side Cameras Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:51:03.083231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bdd7794-2fca-4828-8af4-a34e7ec182db · outbound

This paper cites Road Surface Friction Estimation for Winter Conditions Utilising General Visual Features.

Label Correction for Road Segmentation Using Road-side Cameras Road Surface Friction Estimation for Winter Conditions Utilising General Visual Features

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:51:03.062419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ecd3c7a-b7b6-4be9-9941-1ee3be004eef · outbound

This paper cites Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions.

Label Correction for Road Segmentation Using Road-side Cameras Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:51:03.041597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87e09af9-011f-484b-8e22-03cfd7001225 · outbound

This paper cites Automatic road segmentation of traffic images.

Label Correction for Road Segmentation Using Road-side Cameras Automatic road segmentation of traffic images

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.232082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c81a677d-9a7f-463a-ae63-4e6dfa5e71c2 · outbound

This paper cites Winter adverse driving dataset for autonomy in inclement winter weather,.

Label Correction for Road Segmentation Using Road-side Cameras Winter adverse driving dataset for autonomy in inclement winter weather,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.217991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7f5eae5-aabc-4162-87bb-60dff5f4b30d · outbound

This paper cites Ithaca365: Dataset and driving perception under repeated and challenging weather conditions,.

Label Correction for Road Segmentation Using Road-side Cameras Ithaca365: Dataset and driving perception under repeated and challenging weather conditions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.203864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd9a8e22-bfd7-49f6-8452-ad618850232d · outbound

This paper cites Semantic segmentation for road surface detection in snowy environment,.

Label Correction for Road Segmentation Using Road-side Cameras Semantic segmentation for road surface detection in snowy environment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.189496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0786c0ac-5f14-4209-bf7e-c6b978131949 · outbound

This paper cites Tadap: Trajectory-aided drivable area auto-labeling with pretrained self- supervised features in winter driving conditions,.

Label Correction for Road Segmentation Using Road-side Cameras Tadap: Trajectory-aided drivable area auto-labeling with pretrained self- supervised features in winter driving conditions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.175022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bbb9cc1-c3a9-4092-81cb-21448c72edee · outbound

This paper cites Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions.

Label Correction for Road Segmentation Using Road-side Cameras Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:51:03.018988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba4ddc32-a870-4ee9-a857-f7224bbfbdc4 · outbound

This paper cites Learning off-road terrain traversability with self-supervisions only,.

Label Correction for Road Segmentation Using Road-side Cameras Learning off-road terrain traversability with self-supervisions only,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.159939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8160f2bf-b6c8-43f0-8ca5-a71b0f0aef0c · outbound

This paper cites Self-supervised traversability prediction by learning to reconstruct safe terrain,.

Label Correction for Road Segmentation Using Road-side Cameras Self-supervised traversability prediction by learning to reconstruct safe terrain,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.145123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6bc3a07-8c49-4d92-9324-81d1a424016c · outbound

This paper cites V-strong: Visual self-supervised traversability learning for off-road navigation,.

Label Correction for Road Segmentation Using Road-side Cameras V-strong: Visual self-supervised traversability learning for off-road navigation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.130188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34d168e9-a179-433b-9f7a-68c13d78c5dc · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Label Correction for Road Segmentation Using Road-side Cameras Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T15:51:02.930887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9f7305-038a-47e5-9e36-40b6b551f3a0 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Label Correction for Road Segmentation Using Road-side Cameras DINOv2: Learning Robust Visual Features without Supervision

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T15:51:02.935905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c7c263-78f9-4b8f-8dfa-3a51567c0a75 · outbound

This paper cites Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation,.

Label Correction for Road Segmentation Using Road-side Cameras Stronger fewer & superior: Harnessing vision foundation models for domain generalized semantic segmentation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.114362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dee119b-5728-409b-8794-2e14c1dc0159 · outbound

This paper cites Symmetric phase-only matched filtering of fourier-mellin transforms for image registration and recognition,.

Label Correction for Road Segmentation Using Road-side Cameras Symmetric phase-only matched filtering of fourier-mellin transforms for image registration and recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:51:03.098657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.